This is Appendix 4 Data for the publication
"Using Correlative Science, Open Access Big Data and Ensemble Machine Learning to Track Contamination Signals in the Wild: A first landscape-scale prediction for the Himalayan Vulture (Gyps himalayensis) associated with Diclofenac in Asia"
by Karmacharya et al.
This dataset describes a GIS map for Diclofenac contamination by
Font C, Bregoli F, Acuña V, Sabater S, Marcé R. 2019. GLOBAL-FATE (version 1.0. 0): A geographical information system (GIS)-based model for assessing contaminants fate in the global river network. Geoscientific Model Development Discussions DOI: 10.5194/gmd-20198.
as a raster file with decimal degrees latitude and longitude WGS84 geographic projection for the study area of Asia, including Hindu Kush Himalaya. It shows diclofenac per pixel; for details see references cited here and in the MS.
This dataset is one entity with diclofenac as the attribute.
This is Appendix 4 out of 6.
This datatset is available from authors, at URL
https://drive.google.com/drive/folders/1IcM7uZioWMjnQ9ZncZ1g0foZ21nMuETR
and in dspace via Google at the UAF library.